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disreGUARD

@disreguard.com
15 followers 6 following 3 posts

AI security research lab focused on building infrastructure and patterns to defend against prompt injection from cofounders of `npm audit` and Code4rena disreguard.com

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disreGUARD @disreguard.com · 10/02/2026
There is no silver bullet for prompt injection, but `sig` addresses one of the most tricky challenges: LLMs are dealing with a wall of text. Distinctions between trusted instructions and untrusted text are flimsy at best. By involving the model, we can add texture to make trust boundaries clearer.
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disreGUARD @disreguard.com · 10/02/2026
`sig` is a simple tool. The concept works like this: - sign genuine system and user instructions - require mutations to system prompts to be signed - give model a tool to verify instructions are genuine - gate critical tool usage on the model calling verify()
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disreGUARD @disreguard.com · 09/02/2026
Can we give an agent a tool to check which instructions it should actually follow? And if we do, can we make sure it uses it? Yes, and yes. disreguard.com/blog/posts/s...
disreguard.com
sig: instruction signing for prompt injection defense
We can create a clear trust boundary by signing instructions and giving models a tool to participate in making secure choices
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Reposted by disreGUARD
Adam Avenir @adamavenir.com · 09/02/2026
For the last year, I've been heads down working on building infrastructure to better defend against prompt injection. @disreguard.com is a security research lab focused on tools and methods for ergonomic approaches for the rigorous defense-in-depth needed for agents. disreguard.com/blog/posts/p...
disreguard.com
Injection is inevitable. Disaster is optional.
Prompt injection is an infrastructure problem. We can't prevent it, but we can massively reduce the risk and impact.
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